Search Results (4)

Background: Ibuprofen is one of the most accessible non-steroidal anti-inflammatory drugs (NSADs), exhibiting non-selective reversible inhibition on COX-1 and COX-2. A series of common adverse reactions have been mentioned through the years: gastrointestinal (gastritis, ulceration, hemorrhage, or perforation), renal, hematologic, and cardiovascular. Objective: The aim of this study was to assess the real-world impact of ibuprofen regarding cardiovascular safety, utilizing an established pharmacovigilance database. Methods: Descriptive and disproportionality-based methods were used. Forty specific descriptors of cardiovascular effects were selected. Eight other NSADs and the combination of ibuprofen and pseudoephedrine were used as comparators. Results: A total of 58,760 cases were identified as being associated with ibuprofen in EudraVigilance. Stroke was reported for ibuprofen with a lower probability compared with etoricoxib (ROR: 0.34; 95% CI: 0.21–0.55), celecoxib (ROR: 0.07; 95% CI: 0.06–0.10), meloxicam (ROR: 0.25; 95% CI: 0.14–0.43), acetylsalicylic acid (ROR: 0.07; 95% CI: 0.05–0.09), and ibuprofen/pseudoephedrine (ROR: 0.11; 95% CI: 0.05–0.25). Thrombosis was reported for ibuprofen with a higher probability only relative to ketoprofen (ROR: 2.95; 95% CI: 1.71–5.09). Hypertension was reported for ibuprofen as being more probable than for acetylsalicylic acid (ROR: 1.58; 95% CI: 1.43–1.76). Myocardial infarction was reported as being more probable for ibuprofen than ketoprofen (ROR: 2.31; 95% CI: 1.57–3.40) or nimesulide (ROR: 2.43; 95% CI: 1.25–4.73). Conclusions: Overall, according to our study, the probability of reported cardiovascular adverse reactions is lower than those determined for the rest of the NSAIDs; however, taking into consideration the inherent limitations of the study, further clinical investigations would contribute to a better understanding of the cardiovascular safety of ibuprofen. Full article

Under the action of an earthquake, the adjacent building structure will have a large displacement and even cause damage to the structure. Structure displacement can be suppressed by adding a tuned viscous mass damper (TVMD) and negative stiffness amplifier damper (NSAD) between adjacent structures. This paper deduces the motion equation of adjacent building structures under earthquake action. The transfer function of the vibration control system is obtained using Laplace transform. The parameter optimization analysis of the structural vibration control system is carried out through $H_2$ norm theory. The vibration control performance of the TVMD vibration control system and NSAD vibration control system is studied by taking two adjacent building structures composed of single freedom building structures as an example. The results show that the two vibration damping devices proposed in this paper can play the role of vibration control. The influence of the same parameters on the two structures is not completely consistent. Under seismic excitation, the NSAD control system has better displacement control ability than the TVMD control system. Full article

Severe nephrotic syndrome (NS) is associated with high risk of venous thromboembolic events (VTE), as well as presumably altered heparin pharmacokinetics and pharmacodynamics. Although prophylactic anticoagulation is recommended, the optimal dose is not established. The aim of the study was to test two co-primary hypotheses: of reduced enoxaparin effectiveness and of the need for dose-adjustment in NS. Forty two nephrotic patients with serum albumin ≤2.5 g/dL were alternately assigned to a standard fixed-dose of enoxaparin (NS-FD: 40 mg/day) or ideal body weight (IBW)-based adjusted-dose (NS-AD: 1 mg/kg/day). Twenty one matched non-proteinuric individuals (C-FD) also received fixed-dose. Co-primary outcomes were: the achievement of low- and high-VTE risk threshold of antifactor-Xa activity (anti-FXa) defined as 0.2 IU/mL and 0.3 IU/mL, respectively. Low-VTE-risk threshold was achieved less often in NS-FD than C-FD group (91 vs. 62%, p = 0.024), while the high-VTE-risk threshold more often in NS-AD than in NS-FD group (90 vs. 38%, p < 0.001). Two VTE were observed in NS during 12 months of follow-up (incidence: 5.88%/year). In both cases anti-FXa were 0.3 IU/mL implying the use of anti-FXa >0.3 IU/mL as a target for dose-adjustment logistic regression models. We determined the optimal dose/IBW cut-off value at 0.8 mg/kg and further developed bivariate model (termed the DoAT model) including dose/IBW and antithrombin activity that improved the diagnostic accuracy (AUC 0.85 ± 0.06 vs. AUC 0.75 ± 0.08). Enoxaparin efficacy is reduced in severe NS and the dose should be adjusted to ideal body weight to achieve target anti-FXa activity. Full article

Place recognition is an essential component of autonomous mobile robot navigation. It is used for loop-closure detection to maintain consistent maps, or to localize the robot along a route, or in kidnapped-robot situations. Camera sensors provide rich visual information for this task. We compare different approaches for visual place recognition: holistic methods (visual compass and warping), signature-based methods (using Fourier coefficients or feature descriptors (able for binary-appearance loop-closure evaluation, ABLE)), and feature-based methods (fast appearance-based mapping, FabMap). As new contributions we investigate whether warping, a successful visual homing method, is suitable for place recognition. In addition, we extend the well-known visual compass to use multiple scale planes, a concept also employed by warping. To achieve tolerance against changing illumination conditions, we examine the NSAD distance measure (normalized sum of absolute differences) on edge-filtered images. To reduce the impact of illumination changes on the distance values, we suggest to compute ratios of image distances to normalize these values to a common range. We test all methods on multiple indoor databases, as well as a small outdoor database, using images with constant or changing illumination conditions. ROC analysis (receiver-operator characteristics) and the metric distance between best-matching image pairs are used as evaluation measures. Most methods perform well under constant illumination conditions, but fail under changing illumination. The visual compass using the NSAD measure on edge-filtered images with multiple scale planes, while being slower than signature methods, performs best in the latter case. Full article